diff_of_means ratio_of_sd amplitude_ratio_of_means maximum_error ks_mean_on_coarse_res_with_extremes qqplot_mae acf_mae extremogram_mae
cnn.mri_esm2_0.ssp434 -0.10% 0.948 0.752 0.200 0.191 0.059 0.087 0.013
cnn.cesm2.ssp245 0.16% 0.942 0.748 0.199 0.246 0.062 0.095 0.057
cnn.cesm2.ssp370 -0.24% 0.949 0.752 0.194 0.155 0.073 0.086 0.019
cnn.cesm2.ssp585 0.25% 0.949 0.764 0.214 0.187 0.057 0.079 0.044
cnn.mri_esm2_0.ssp245 0.30% 0.964 0.752 0.190 0.182 0.058 0.089 0.031
cnn.ec_earth3.ssp434 0.35% 0.955 0.747 0.208 0.290 0.093 0.096 0.099
cnn.mri_esm2_0.ssp370 0.37% 0.950 0.759 0.183 0.190 0.054 0.074 0.021
lstm.cesm2.ssp370 0.50% 0.962 0.779 0.176 0.109 0.072 0.087 0.013
nv.cesm2.ssp370 0.72% 0.909 0.641 0.174 0.245 0.115 0.118 0.044
xgboost.cesm2.ssp370 0.76% 0.899 0.609 0.152 0.324 0.106 0.130 0.041
lstm.cesm2.ssp245 1.37% 0.969 0.779 0.148 0.179 0.058 0.094 0.034
lstm.cesm2.ssp585 1.37% 0.955 0.786 0.173 0.126 0.068 0.075 0.041
xgboost.cesm2.ssp245 1.53% 0.909 0.609 0.154 0.347 0.093 0.140 0.074
nv.cesm2.ssp245 1.57% 0.914 0.641 0.173 0.323 0.103 0.126 0.065
xgboost.cesm2.ssp585 1.65% 0.891 0.610 0.146 0.310 0.107 0.122 0.071
nv.cesm2.ssp585 1.69% 0.897 0.643 0.163 0.279 0.118 0.111 0.066
xgboost.ec_earth3.ssp434 -4.33% 0.971 0.638 0.180 0.405 0.173 0.132 0.135
nv.ec_earth3.ssp434 -4.51% 0.990 0.665 0.135 0.388 0.178 0.128 0.131
lstm.ec_earth3.ssp434 -4.75% 1.029 0.804 0.201 0.274 0.188 0.094 0.093
xgboost.mri_esm2_0.ssp434 35.90% 0.543 0.371 0.278 0.357 1.420 0.125 0.027
xgboost.mri_esm2_0.ssp245 36.02% 0.546 0.368 0.269 0.373 1.425 0.128 0.045
nv.mri_esm2_0.ssp434 36.37% 0.607 0.525 0.227 0.221 1.438 0.084 0.027
nv.mri_esm2_0.ssp245 36.48% 0.610 0.522 0.239 0.233 1.442 0.084 0.026
xgboost.mri_esm2_0.ssp370 36.67% 0.529 0.361 0.273 0.323 1.451 0.115 0.032
nv.mri_esm2_0.ssp370 37.29% 0.599 0.526 0.213 0.204 1.474 0.067 0.019
lstm.mri_esm2_0.ssp434 38.50% 0.674 0.624 0.217 0.089 1.522 0.047 0.036
lstm.mri_esm2_0.ssp245 38.67% 0.671 0.607 0.196 0.040 1.529 0.049 0.009
lstm.mri_esm2_0.ssp370 39.36% 0.658 0.604 0.225 0.102 1.556 0.040 0.028

Time series of the first days

How Often Peaks Hit Hourly

QQ Plot

Distribution of the undownscaled value on days with estimated extremes values.

On the x-axis we have the daily mean (standardized). It says Undownscaled value, but is the daily mean after the downscaling. A good idea is to plot the original undownscaled value.

The purpose of this plot is to illustrate the distribution of P(undownscaled value | we predicted an extreme). This is useful because it reveals how much information we can recover concerning extreme events. If the distribution is skewed to the right, it suggests that we’re predicting extreme values only when extreme values have already occurred. Conversely, if the lower tail of the distribution resembles the reanalysis data, it indicates that we can capture short-duration extremes (e.g., brief periods of heavy rainfall, such as an intense downpour lasting an hour before stopping).

Autocorrelogram

Extremogram